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N_distilbert_sst5_padding0model
Realgon/N_distilbert_sst5_padding0model
N_distilbert_sst5_padding0model is a text classification model from Realgon. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Dec 4, 2023
- Updated
- Dec 13, 2023
- SHA
- 15c95034
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
N_distilbert_sst5_padding0model
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1603
- Accuracy: 0.5100
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2711 | 1.0 | 534 | 1.2114 | 0.4484 |
| 1.0077 | 2.0 | 1068 | 1.0976 | 0.5303 |
| 0.8051 | 3.0 | 1602 | 1.2082 | 0.5240 |
| 0.6379 | 4.0 | 2136 | 1.3809 | 0.5222 |
| 0.4724 | 5.0 | 2670 | 1.6873 | 0.4932 |
| 0.3451 | 6.0 | 3204 | 1.8427 | 0.5104 |
| 0.2629 | 7.0 | 3738 | 2.0872 | 0.5145 |
| 0.1894 | 8.0 | 4272 | 2.3192 | 0.5163 |
| 0.156 | 9.0 | 4806 | 2.6154 | 0.5136 |
| 0.1447 | 10.0 | 5340 | 3.0435 | 0.4968 |
| 0.0956 | 11.0 | 5874 | 3.3029 | 0.5036 |
| 0.084 | 12.0 | 6408 | 3.5400 | 0.5045 |
| 0.0632 | 13.0 | 6942 | 3.7259 | 0.4995 |
| 0.0462 | 14.0 | 7476 | 3.9112 | 0.4946 |
| 0.0378 | 15.0 | 8010 | 4.0038 | 0.4995 |
| 0.0338 | 16.0 | 8544 | 4.0106 | 0.5118 |
| 0.0253 | 17.0 | 9078 | 4.0946 | 0.5104 |
| 0.0299 | 18.0 | 9612 | 4.1451 | 0.5041 |
| 0.022 | 19.0 | 10146 | 4.1501 | 0.5077 |
| 0.0146 | 20.0 | 10680 | 4.1603 | 0.5100 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 4, 2023
- Updated
- Dec 13, 2023